ZigZag - Deep Learning Hardware Design Space Exploration
This repository presents the novel version of our tried-and-tested hardware Architecture-Mapping Design Space Exploration (DSE) Framework for Deep Learning (DL) accelerators. ZigZag bridges the gap between algorithmic DL decisions and their acceleration cost on specialized accelerators through a fast and accurate hardware cost estimation.
Namespaces
zigzag.parser Namespace Reference

Namespaces

 accelerator_factory
 
 accelerator_validator
 
 arguments
 
 mapping_factory
 
 mapping_validator
 
 onnx
 
 upgraded_validator
 Copyright jdotjdot (https://github.com/pyeve/cerberus/issues/220#issuecomment-205047415)
 
 workload_factory
 
 workload_validator